SegmentStream

Tracked · below panel floor — earned mentions are accruing toward the next scored window.

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

SegmentStream positions itself as independent measurement infrastructure built for advertisers rather than ad platforms, arguing that conventional attribution has become guesswork and pitching cross-channel attribution, incrementality testing, and automated budget reallocation as the evidence-based alternative. Recent positioning leans into being a measurement layer AI agents can query directly, rather than a dashboard humans read. Conversation around the brand runs practitioner-heavy: marketers comparing attribution methodologies, walkthroughs of incrementality and geo-holdout testing, and questions about moving budget across ad platforms based on marginal performance rather than last-click credit. It shows a quieter footprint so far outside that specialist measurement audience.

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

SegmentStream ships a hosted MCP server giving AI assistants read-only access to a workspace's attribution reports, conversion data, user journeys, and budget-optimization scenarios, with OAuth authentication and role-based write access for creating projects or defining conversions. It also exposes an SDK for programmatic integration. The company frames this explicitly as building a measurement layer AI agents can query and act on directly, positioning the MCP surface as the current center of its agent build-out rather than a peripheral feature.